This is a simplified guide to an AI model called Seamless-Expressive maintained by Adirik. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
The seamless-expressive model is a multilingual speech translation system developed by the Facebook AI Research team. It is designed to preserve the original vocal style and prosody of the speaker, ensuring that the translated audio maintains the nuances and expressive qualities of the original. This is in contrast to typical speech translation models, which often result in a more monotone or robotic-sounding output.
The seamless-expressive model can translate between several major languages, including English, French, Spanish, German, Italian, and Chinese (Mandarin). It is built upon the researchers’ previous work on seamless communication and aims to advance the state-of-the-art in multilingual speech translation.
Similar models in this domain include hierspeechpp for zero-shot speech synthesis, styletts2 for text-to-speech generation, whisper for speech recognition, and metavoice for large-scale speech synthesis.
Model inputs and outputs
The seamless-expressive model takes an audio file as input and translates it to a target language, while preserving the original speaker’s vocal style and prosody. The model can handle several major languages as both source and target.
Inputs
- audio_input: Path to the input audio file to be translated
- source_lang: The original language of the input audio (English, French, Spanish, German, Italian, or Chinese)
- target_lang: The desired target language for the translated output (English, French, Spanish, German, Italian, or Chinese)
- duration_factor: An optional adjustment factor to better match the timing and rhythm of the target language
Outputs
- Translated audio: The input audio translated to the target language, while retaining the original speaker’s vocal characteristics
Capabilities
The seamless-expressive model is cap…
